%0 Conference Paper %1 conf/nips/ArumugamR22 %A Arumugam, Dilip %A Roy, Benjamin Van %B NeurIPS %D 2022 %E Koyejo, Sanmi %E Mohamed, S. %E Agarwal, A. %E Belgrave, Danielle %E Cho, K. %E Oh, A. %K dblp %T Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#ArumugamR22 %@ 9781713871088

@inproceedings{conf/nips/ArumugamR22, added-at = {2024-01-08T00:00:00.000+0100}, author = {Arumugam, Dilip and Roy, Benjamin Van}, biburl = {https://www.bibsonomy.org/bibtex/2f5cf4d96ecca2a223b84bac7935db992/dblp}, booktitle = {NeurIPS}, crossref = {conf/nips/2022}, editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.}, ee = {http://papers.nips.cc/paper_files/paper/2022/hash/3b18d368150474ac6fc9bb665d3eb3da-Abstract-Conference.html}, interhash = {561f73bcb71f7f2dcde525de45c74797}, intrahash = {f5cf4d96ecca2a223b84bac7935db992}, isbn = {9781713871088}, keywords = {dblp}, timestamp = {2024-04-09T23:22:16.000+0200}, title = {Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#ArumugamR22}, year = 2022 }